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AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.

J Med Internet Res

January 2025

Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.

There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.

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Rapid accumulation of knowledge and skills by trainees in the intensive care unit assumes prior mastery of clinically relevant core physiology concepts. However, for many fellows, their foundational physiology knowledge was acquired years earlier during their preclinical medical curricula and variably reinforced during the remainder of their undergraduate and graduate medical training. We sought to assess the retention of clinically relevant pulmonary physiology knowledge among pulmonary and critical care medicine (PCCM) and critical care medicine (CCM) fellows.

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With the continuous development of Terahertz technology and its high sensitivity to water, Terahertz technology has been widely applied in various research areas within the field of biomedicine, such as research onskin wounds and burns, demonstrating numerous advantages and potential. The aim of this study is to summarize and conclude the current research status of Terahertz radiation in skin wounds, burns, and melanoma. Additionally, it seeks toreveal the development status of Terahertz in skin wound models and analyze the short comings of Terahertz in detecting such models at the present stage.

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Age-specific abnormal glucose metabolism in HIV-positive people on antiviral therapy in China: a multicenter case-control study.

Ann Med

December 2025

Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.

Background: Update, the link between HIV infection and abnormal glucose metabolism (AGM) is still unclear. This study aims to investigate the impact of HIV infection on AGM, including insulin resistance (IR), impaired fasting glucose (IFG), and diabetes mellitus (DM).

Methods: A multicenter case-control study was conducted in Zhejiang province, China.

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Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.

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